Building a Twitter Dataset to Find out How People View the EU
Clare Llewellyn and Laura Cram
In the context of the UK’s referendum on membership of the EU, Clare Llewellyn and Laura Cram are investigating how people use social media to talk about the UK-EU relationship. They provide the first update on the project, which has a presence on Storify, explaining the process of building a dataset on Twitter to keep track of the discussion.
imagineEurope Storify Homepage
We are building a dataset to explore the relationship between the UK and the EU and how people talk about this relationship. We are using social media – in particular Twitter – to find out what people are saying and to investigate how this changes leading up to a referendum on the UK’s membership.
We have started by building a Twitter database using the Twitter API.
Documentation | Twitter Developers
In fact, we are going to end up building three databases: one on what is in the Twitter sample stream, one gathered using specific hashtags and one gathered by following what we are calling influencers – basically those that talk specifically about the European Union and are listened to. This ranges from MPs to think tanks, to academics and to pressure groups.
Of course, Twitter data is not representative of the whole population. It is used predominantly by young (74 per cent are between 15 and 25 – see Beevolve) and politically active or by those with a particular axe to grind (‘Twitter is dominated by individuals with strong political views’ – see Barberá 2015). Nevertheless, social media is increasingly the space in which major events and political decisions are debated by large numbers of people. This became very clear during the recent referendum on Scottish independence. We will explore how the debate on the UK’s relationship with the EU is framed and reframed within Twitter and how it relates to the wider offline political conversation.
An Exhaustive Study of Twitter Users Across the World
Our Social Media Monitoring platform mines through millions of conversations every day for our customers. Out of these millions of conversations, quite a few happen to come from Twitter. We realized that we could do a large-scale in-depth study of Twitter users to better understand what is the average profile of a person using Twitter and hence this mammoth study on 36 million Twitter user profiles.
Beevolve
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Wilf Family Department of Politics, New York University, 19 W 4th Street, 2nd Floor, New York, NY 10012. Politicians and citizens increasingly engage in political conversations on social media outlets such as Twitter. In this article, I show that the structure of the social networks in which they are embedded can be a source of information about their ideological positions.
Oxfordjournals
We have started off by gathering data on specific hashtags. We started on 7 August 2015 using the terms: #eureferendum, #euref, #brexit, #no2eu, #yes2eu, #notoeu, #yestoeu, #betteroffout, #betteroffin, #voteout, #votein, #eureform, #ukineu, #Bremain, #EUpoll, #UKreferendum, #UKandEU, #EUpol, #ImagineEurope, #EdEUref, #MyImageOfTheEU, #UKRef, #ref.
The wordle shows the frequency (bigger = more) of hashtags in the dataset on 7 August 2015.
Frequency of terms in our twitter dataset on the first day of collection 7th August pic.twitter.com/JDNdurATmh
— myimageoftheEU (@myimageoftheEU) September 11, 2015
We added #referendum #eu, and #europe on 25 August 2015:
Frequency of the use of hashtags in our dataset 25th August when we added the tags #referendum #eu, and #europe pic.twitter.com/41th5uh81l
— myimageoftheEU (@myimageoftheEU) September 11, 2015
In response to events in Europe, we added #refugeesWelcome on 3 September 2015:
Frequency of the use of hashtags in our dataset 25th August when we added the tag #refugeeswelcome pic.twitter.com/zr9r47Mx1m
— myimageoftheEU (@myimageoftheEU) September 11, 2015
Across the whole time period:
Frequency of terms over the whole time period 9th August – 11 September pic.twitter.com/CE7HsVV4Ok
— myimageoftheEU (@myimageoftheEU) September 11, 2015
Obviously there is a lot more to do and this is just a taste of what we are looking at. Look out for our regular updates as the project tracks developments in the debate on the UK’s continued membership of the EU and follow us @myimageoftheEU.
Neuropolitics Research Lab – People – Politics and International Relations (PIR)
Neuropolitics research politics experiments using fMRI brain scanning.
ED
Laura Cram is Senior Fellow, The UK in a Changing Europe, investigating The European Union in the Public Imagination: Maximising the Impact of Transdisciplinary Insights (ESRC/ES/N003985/1).
This article was originally published on the imagineEurope Storify.
Published: 18 September 2015
Please note that this article represents the view of the author(s) alone and not European Futures, the Edinburgh Europa Institute nor the University of Edinburgh.
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Shortlink for this article: edin.ac/1gFKWUe
Clare Llewellyn (@clarellewellyn)
The University of Edinburgh
Clare Llewellyn is PhD Candidate in Informatics at the University of Edinburgh and Research Assistant in the European Union in the Public Imagination project. Her research focuses on user-generated content on the Internet.
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Laura Cram (@neuropols and @EUidentity)
The University of Edinburgh
Prof Laura Cram is Professor of European Politics at the University of Edinburgh; Senior Fellow, The UK in a Changing Europe; and Academic Editor of European Futures. Her research areas include European public policy, European identity and the neuropolitics of public policy and identity.
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